DEA-C01 Question 230
Select 2A company processes large amounts of data daily and needs to implement a cost-effective storage solution for their analytics pipeline. The data is categorized into 'hot' data, which needs to be accessed frequently with low latency, and 'cold' data, which is rarely accessed but must be retained for compliance purposes. Which combination of AWS storage solutions should they use to address these requirements?
- A
Amazon S3 Standard for hot data and Amazon S3 Glacier Deep Archive for cold data
- B
Amazon S3 Intelligent-Tiering for hot data and Amazon S3 Glacier for cold data
- C
Amazon EBS for hot data and Amazon S3 Glacier Deep Archive for cold data
- D
Amazon S3 Standard-IA for hot data and Amazon DynamoDB for cold data
- E
Amazon S3 Standard for hot data and Amazon RDS for cold data
Show answer and explanation
Correct answers: A, B
Explanation
The correct solutions involve using storage services tailored to the specific access patterns of the data. Amazon S3 Standard and Amazon S3 Intelligent-Tiering are both ideal for hot data access patterns, ensuring low latency. For cold data, Amazon S3 Glacier and Glacier Deep Archive provide cost-efficient storage for rarely accessed data with compliance needs. Other options incorrectly pair services that are not designed for the described use case, such as block storage (EBS) or database services (RDS and DynamoDB).
- A. Correct.
This option is correct because Amazon S3 Standard is optimized for frequently accessed data (hot data), while Amazon S3 Glacier Deep Archive is the most cost-effective option for rarely accessed (cold) data with long-term retention needs.
- B. Correct.
This option is correct because Amazon S3 Intelligent-Tiering provides automated cost optimization for hot and cold data by moving objects between access tiers based on usage patterns, and Amazon S3 Glacier is suitable for cold data storage that requires infrequent access.
- C. Incorrect.
This option is incorrect because Amazon EBS is designed for block storage use cases like servers or databases, not for scalable object storage required in analytics pipelines. While Amazon S3 Glacier Deep Archive is suitable for cold data, EBS is not a cost-effective option for hot data in this scenario.
- D. Incorrect.
This option is incorrect because Amazon S3 Standard-IA is not optimized for frequently accessed data; it is designed for infrequent access. Additionally, Amazon DynamoDB is a NoSQL database service and not suitable for storing cold data for compliance purposes.
- E. Incorrect.
This option is incorrect because Amazon RDS is a relational database service and is not designed for cost-effective long-term storage of cold data. While Amazon S3 Standard is suitable for hot data, pairing it with RDS for cold data storage is inappropriate.